This thesis aims to examine how artificial intelligence technologies may enhance efficiency in managing public tenders through the simplification of filtering and document filling up of Market Inquiries (MIs). Based on the experience of Coesa Srl, which is entering the business of public procurement, the research aims to eradicate inefficiencies brought about by repetitive manual procedures and poor time and cost performance. Deductive in approach, the research starts from the point that AI can be used to enhance efficiency by utilizing models which are available and accessible universally like ChatGPT and Gemini in the workflow. Over months of learning, training, and outcome assessment, the performance of the AI solution is compared with human operators on metrics such as time saved, cost, error rate, and customer satisfaction.